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Agent Skill · 研究检索

x-twitter-growth(x 推特增长)

x-twitter-growth 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

x-twitter-growth 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 14,442。

总安装 8,544周安装 356GitHub Stars 公开资料未说明下载 2,848核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:x-twitter-growth(x 推特增长)
来源仓库:https://github.com/alirezarezvani/x-twitter-growth
安装命令:
openclaw skills install x-twitter-growth
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install x-twitter-growth

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

x-twitter-growth 是专为 X/Twitter 账号增长设计的引擎式工具。适用于希望扩大受众、提升参与度或制作病毒式内容的创作者与品牌方。结合数据分析与内容策略建议,优化推文发布时间与文案表达。

安装命令为 openclaw skills install x-twitter-growth,需接入 X API 获取账号指标数据。使用前应评估算法透明度与结果可解释性,避免过度依赖黑箱模型决策。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install x-twitter-growth;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

x-twitter-growth 怎么安装?

在终端执行 openclaw skills install x-twitter-growth。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

x-twitter-growth 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

x-twitter-growth 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

x-twitter-growth 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

x-twitter-growth 用的人多吗?

公开数据是累计安装 8,544 次,近一周安装 356 次,下载 2,848 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

x-twitter-growth 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
x-twitter-growth

x 推特增长 · 本页

8,544—需要联网MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
x-twitter-growth
description
X/Twitter growth engine for building audience, crafting viral content, and analyzing engagement. Use when the user wants to grow on X/Twitter, write tweets or threads, analyze their X profile, research competitors on X, plan a posting strategy, or optimize engagement. Complements social-content (generic multi-platform) with X-specific depth: algorithm mechanics, thread engineering, reply strategy, profile optimization, and competitive intelligence via web search.
license
MIT
metadata
version
1.0.0
author
Alireza Rezvani
category
marketing
updated
2026-03-10

X/Twitter Growth Engine

X-specific growth skill. For general social media content across platforms, see social-content. For social strategy and calendar planning, see social-media-manager. This skill goes deep on X.

When to Use This vs Other Skills

NeedUse
Write a tweet or threadThis skill
Plan content across LinkedIn + X + Instagramsocial-content
Analyze engagement metrics across platformssocial-media-analyzer
Build overall social strategysocial-media-manager
X-specific growth, algorithm, competitive intelThis skill

Step 1 — Profile Audit

Before any growth work, audit the current X presence. Run scripts/profile_auditor.py with the handle, or manually assess:

Bio Checklist

  • [ ] Clear value proposition in first line (who you help + how)
  • [ ] Specific niche — not "entrepreneur | thinker | builder"
  • [ ] Social proof element (followers, title, metric, brand)
  • [ ] CTA or link (newsletter, product, site)
  • [ ] No hashtags in bio (signals amateur)

Pinned Tweet

  • [ ] Exists and is less than 30 days old
  • [ ] Showcases best work or strongest hook
  • [ ] Has clear CTA (follow, subscribe, read)

Recent Activity (last 30 posts)

  • [ ] Posting frequency: minimum 1x/day, ideal 3-5x/day
  • [ ] Mix of formats: tweets, threads, replies, quotes
  • [ ] Reply ratio: >30% of activity should be replies
  • [ ] Engagement trend: improving, flat, or declining

Run: python3 scripts/profile_auditor.py --handle @username


Step 2 — Competitive Intelligence

Research competitors and successful accounts in your niche using web search.

Process

  1. Search site:x.com "topic" min_faves:100 via Brave to find high-performing content
  2. Identify 5-10 accounts in your niche with strong engagement
  3. For each, analyze: posting frequency, content types, hook patterns, engagement rates
  4. Run: python3 scripts/competitor_analyzer.py --handles @acc1 @acc2 @acc3

What to Extract

  • Hook patterns — How do top posts start? Question? Bold claim? Statistic?
  • Content themes — What 3-5 topics get the most engagement?
  • Format mix — Ratio of tweets vs threads vs replies vs quotes
  • Posting times — When do their best posts go out?
  • Engagement triggers — What makes people reply vs like vs retweet?

Step 3 — Content Creation

Tweet Types (ordered by growth impact)

1. Threads (highest reach, highest follow conversion)
Structure:
- Tweet 1: Hook — must stop the scroll in <7 words
- Tweet 2: Context or promise ("Here's what I learned:")
- Tweets 3-N: One idea per tweet, each standalone-worthy
- Final tweet: Summary + explicit CTA ("Follow @handle for more")
- Reply to tweet 1: Restate hook + "Follow for more [topic]"

Rules:
- 5-12 tweets optimal (under 5 feels thin, over 12 loses people)
- Each tweet should make sense if read alone
- Use line breaks for readability
- No tweet should be a wall of text (3-4 lines max)
- Number the tweets or use "↓" in tweet 1
2. Atomic Tweets (breadth, impression farming)
Formats that work:
- Observation: "[Thing] is underrated. Here's why:"
- Listicle: "10 tools I use daily:\
\
1. X — for Y"
- Contrarian: "Unpopular opinion: [statement]"
- Lesson: "I [did X] for [time]. Biggest lesson:"
- Framework: "[Concept] explained in 30 seconds:"

Rules:
- Under 200 characters gets more engagement
- One idea per tweet
- No links in tweet body (kills reach — put link in reply)
- Question tweets drive replies (algorithm loves replies)
3. Quote Tweets (authority building)
Formula: Original tweet + your unique take
- Add data the original missed
- Provide counterpoint or nuance
- Share personal experience that validates/contradicts
- Never just say "This" or "So true"
4. Replies (network growth, fastest path to visibility)
Strategy:
- Reply to accounts 2-10x your size
- Add genuine value, not "great post!"
- Be first to reply on accounts with large audiences
- Your reply IS your content — make it tweet-worthy
- Controversial/insightful replies get quote-tweeted (free reach)

Run: python3 scripts/tweet_composer.py --type thread --topic "your topic" --audience "your audience"


Step 4 — Algorithm Mechanics

What X rewards (2025-2026)

SignalWeightAction
Replies receivedVery highWrite reply-worthy content (questions, debates)
Time spent readingHighThreads, longer tweets with line breaks
Profile visits from tweetHighCuriosity gaps, tease expertise
BookmarksHighTactical, save-worthy content (lists, frameworks)
Retweets/QuotesMediumShareable insights, bold takes
LikesLow-mediumEasy agreement, relatable content
Link clicksLow (penalized)Never put links in tweet body — use reply

What kills reach

  • Links in tweet body (put in first reply instead)
  • Editing tweets within 30 min of posting
  • Posting and immediately going offline (no early engagement)
  • More than 2 hashtags
  • Tagging people who don't engage back
  • Threads with inconsistent quality (one weak tweet tanks the whole thread)

Optimal Posting Cadence

Account sizeTweets/dayThreads/weekReplies/day
< 1K followers2-31-210-20
1K-10K3-52-35-15
10K-50K3-72-45-10
50K+2-51-35-10

Step 5 — Growth Playbook

Week 1-2: Foundation

  1. Optimize bio and pinned tweet (Step 1)
  2. Identify 20 accounts in your niche to engage with daily
  3. Reply 10-20 times per day to larger accounts (genuine value only)
  4. Post 2-3 atomic tweets per day testing different formats
  5. Publish 1 thread

Week 3-4: Pattern Recognition

  1. Review what formats got most engagement
  2. Double down on top 2 content formats
  3. Increase to 3-5 posts per day
  4. Publish 2-3 threads per week
  5. Start quote-tweeting relevant content daily

Month 2+: Scale

  1. Develop 3-5 recurring content series (e.g., "Friday Framework")
  2. Cross-pollinate: repurpose threads as LinkedIn posts, newsletter content
  3. Build reply relationships with 5-10 accounts your size (mutual engagement)
  4. Experiment with spaces/audio if relevant to niche
  5. Run: python3 scripts/growth_tracker.py --handle @username --period 30d

Step 6 — Content Calendar Generation

Run: python3 scripts/content_planner.py --niche "your niche" --frequency 5 --weeks 2

Generates a 2-week posting plan with:

  • Daily tweet topics with hook suggestions
  • Thread outlines (2-3 per week)
  • Reply targets (accounts to engage with)
  • Optimal posting times based on niche

Scripts

ScriptPurpose
scripts/profile_auditor.pyAudit X profile: bio, pinned, activity patterns
scripts/tweet_composer.pyGenerate tweets/threads with hook patterns
scripts/competitor_analyzer.pyAnalyze competitor accounts via web search
scripts/content_planner.pyGenerate weekly/monthly content calendars
scripts/growth_tracker.pyTrack follower growth and engagement trends

Common Pitfalls

  1. Posting links directly — Always put links in the first reply, never in the tweet body
  2. Thread tweet 1 is weak — If the hook doesn't stop scrolling, nothing else matters
  3. Inconsistent posting — Algorithm rewards daily consistency over occasional bangers
  4. Only broadcasting — Replies and engagement are 50%+ of growth, not just posting
  5. Generic bio — "Helping people do things" tells nobody anything
  6. Copying formats without adapting — What works for tech Twitter doesn't work for marketing Twitter

Related Skills

  • social-content — Multi-platform content creation
  • social-media-manager — Overall social strategy
  • social-media-analyzer — Cross-platform analytics
  • content-production — Long-form content that feeds X threads
  • copywriting — Headline and hook writing techniques

平台分布

OpenClaw

87.61%
按下载量换算2,495

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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